Manager – Data Analytics

at Sutherland
Published December 4, 2022
Location Dallas, United States of America
Category Deep Learning  
Job Type Full-time  

Description

Company Description:

At Sutherland, we create exceptionally engineered brand experiences that are a perfect match for the real people (and real moments) they're made for. We do that by combining human-centered design with the scale & accuracy of real-time analytics, AI, cognitive technology and automation.

Job Description:

-Experience in AI, ML (including Deep Learning approaches) and NLU
- Build topic analysis, voice recognition, text classification, named entity recognition methods for unstructured and semi-structured data
- Generate creative solutions in the field of Voice Bots and Chat Bots
- Perform voice/text mining, generate and test working hypotheses, prepare and analyze historical data and identify patterns
-part of a project team, to lead Speech & Text Bots for the next generation of intelligence and language understanding for better Consumer Insights

Qualifications:

- Should have 12+ years of experience with graduate in Mathematics, Computer Science, Information Management or Statistics.

- Experience in tools such as Verint and Nexidia

- Should be comfortable working with structured & Unstructured Data.
- Excellent background in Machine Learning (generative model, discriminative model, neural network, regression, classification, clustering, etc.)
- Experience in Developing and Deploying Voice Bots
- Have experience in developing Speech Bots / Speech to Text Models
- In-depth knowledge of various Natural Language Processing/Understanding (NLP/NLU) domains such as entity extraction, speech recognition, topic modeling, parsing, question answering, Relation Extraction, Ontology, etc.

· NLP

· HMM

· CRF

· deep learning & recurrent ANN

· word2vec/doc2vec

· Bayesian modeling

Additional Information:

All your information will be kept confidential according to EEO guidelines.

EEOC and Veteran Documentation
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Administrative EEO Records are kept in a Confidential File and are not part of your Application for Employment or Personnel file.
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